iPhone XR
Geekbench AI Score
409
Single Precision Score
1659
Half Precision Score
297
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 08:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone XR |
| Model ID | iPhone11,8 |
| Motherboard | N841AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
264
49.1 IPS |
|
|
Image Classification (HP)
|
100% |
1663
309.2 IPS |
|
|
Image Classification (Q)
|
99% |
167
31.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
227
3.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
269
4.36 IPS |
|
|
Image Segmentation (Q)
|
99% |
127
2.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
17281
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
598
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
1206
95.7 IPS |
|
|
Object Detection (Q)
|
94% |
170
13.6 IPS |
|
|
Face Detection (SP)
|
100% |
542
6.44 IPS |
|
|
Face Detection (HP)
|
100% |
3833
45.5 IPS |
|
|
Face Detection (Q)
|
100% |
209
2.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
523
4.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
12824
98.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
328
2.56 IPS |
|
|
Style Transfer (SP)
|
100% |
1414
1.82 IPS |
|
|
Style Transfer (HP)
|
100% |
1414
1.82 IPS |
|
|
Style Transfer (Q)
|
96% |
1152
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3179
117.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
404
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
255
339.7 IPS |
|
|
Text Classification (HP)
|
100% |
284
378.6 IPS |
|
|
Text Classification (Q)
|
93% |
295
395.4 IPS |
|
|
Machine Translation (SP)
|
100% |
362
6.23 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (Q)
|
98% |
266
4.61 IPS |
